AIMC Topic: Phenotype
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Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome - the MADDEC study.
Annals of medicine
Apr 27, 2019
Investigation of the clinical potential of extensive phenotype data and machine learning (ML) in the prediction of mortality in acute coronary syndrome (ACS). The value of ML and extensive clinical data was analyzed in a retrospective registry stud...
Drug repurposing in oncology: Compounds, pathways, phenotypes and computational approaches for colorectal cancer.
Biochimica et biophysica acta. Reviews on cancer
Apr 26, 2019
The strategy of using existing drugs originally developed for one disease to treat other indications has found success across medical fields. Such drug repurposing promises faster access of drugs to patients while reducing costs in the long and diffi...
Machine learning for phenotyping opioid overdose events.
Journal of biomedical informatics
Apr 25, 2019
OBJECTIVE: To develop machine learning models for classifying the severity of opioid overdose events from clinical data.
Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patients.
Journal of biomedical informatics
Apr 20, 2019
OBJECTIVE: Clinical care guidelines recommend that newly diagnosed prostate cancer patients at high risk for metastatic spread receive a bone scan prior to treatment and that low risk patients not receive it. The objective was to develop an automated...
Artificial Intelligence in Clinical Neurosciences.
World neurosurgery
Apr 18, 2019
Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study.
Journal of medical Internet research
Apr 17, 2019
BACKGROUND: Virtually, all organisms on Earth have their own circadian rhythm, and humans are no exception. Circadian rhythms are associated with various human states, especially mood disorders, and disturbance of the circadian rhythm is known to be ...
Interactive biomedical ontology matching.
PloS one
Apr 17, 2019
Due to continuous evolution of biomedical data, biomedical ontologies are becoming larger and more complex, which leads to the existence of many overlapping information. To support semantic inter-operability between ontology-based biomedical systems,...
A directed learning strategy integrating multiple omic data improves genomic prediction.
Plant biotechnology journal
Apr 14, 2019
Genomic prediction (GP) aims to construct a statistical model for predicting phenotypes using genome-wide markers and is a promising strategy for accelerating molecular plant breeding. However, current progress of phenotype prediction using genomic d...
Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO.
BMC systems biology
Apr 5, 2019
BACKGROUND: Improving efficiency of disease diagnosis based on phenotype ontology is a critical yet challenging research area. Recently, Human Phenotype Ontology (HPO)-based semantic similarity has been affectively and widely used to identify causati...
Automated feature selection of predictors in electronic medical records data.
Biometrics
Apr 2, 2019
The use of Electronic Health Records (EHR) for translational research can be challenging due to difficulty in extracting accurate disease phenotype data. Historically, EHR algorithms for annotating phenotypes have been either rule-based or trained wi...
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